Package classifiers

Submodules

classifiers.data_splitter
classifiers.g_class_centers: This computes centers for classes.
classifiers.g_kmeans
classifiers.l_class_show: Reads in the output of l_classifier.py and prepares it for display.
classifiers.l_classifier_guts: A classifier that assumes that P is linear in position.
classifiers.lx_classifier
classifiers.multivariance
classifiers.q_classiboost: Reads the *.fiat file produced by q_classifier.py that contains the decisions of the individual classifiers in the forest.
classifiers.q_classifier_mm: Subroutines for q_classifier.py that implement a multi-mu model.
classifiers.q_classifier_r: This is a support module, used by many types of classifiers.
classifiers.qd_classifier_guts: A classifier that assumes that log(P) is a quadratic form.
classifiers.read_classified: This module reads the outputs of qd_classifier.py, specificially classifed.fiat and classes.chunk.
classifiers.sim_cen_gauss_class: Simple centered Gaussian Classifier.

Variables
	__package__ = `'classifiers'`

Imports: q_classifier_r, qd_classifier_guts, l_classifier_guts, data_splitter